package com.tanhua.app.service;

import cn.hutool.core.collection.CollUtil;
import com.tanhua.api.CommentApi;
import com.tanhua.api.UserInfoApi;
import com.tanhua.app.exception.BusinessException;
import com.tanhua.app.exception.ErrorResult;
import com.tanhua.app.interceptor.UserHolder;
import com.tanhua.commons.utils.Constants;
import com.tanhua.model.enums.CommentType;
import com.tanhua.model.mongo.Comment;
import com.tanhua.model.pojo.UserInfo;
import com.tanhua.model.vo.CommentVo;
import com.tanhua.model.vo.PageResult;
import org.apache.dubbo.config.annotation.DubboReference;
import org.apache.tomcat.util.bcel.Const;
import org.bson.types.ObjectId;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.StringRedisTemplate;
import org.springframework.stereotype.Service;

import java.util.ArrayList;
import java.util.List;
import java.util.Map;
import java.util.function.Function;
import java.util.stream.Collectors;

@Service
public class CommentsService {
    @Autowired
    private StringRedisTemplate redisTemplate;

    @Autowired
    private MqMessageService mqMessageService;
    @DubboReference
    private CommentApi commentApi;


    @DubboReference
    private UserInfoApi userInfoApi;
    //发布评论
    public void saveComments(String movementId, String comment) {
        //1.封装评论数据
        Comment commentDate = new Comment();
        commentDate.setPublishId(new ObjectId(movementId));
        commentDate.setCommentType(CommentType.COMMENT.getType());
        commentDate.setContent(comment);
        commentDate.setUserId(UserHolder.getUserId());
        commentDate.setCreated(System.currentTimeMillis());

        //2.执行保存评论数据
        commentApi.save(commentDate);

    }


    //分页查询评论列表
    public PageResult findComments(String movementId, Integer page, Integer pagesize) {

        //1.根据动态id 调用api查询评论列表
        List<Comment> commentList=commentApi.findComments(movementId,CommentType.COMMENT,page,pagesize);

        //2.判断查询结果是否为空,为空直接返回
        if (CollUtil.isEmpty(commentList)) {
            return new PageResult(page,pagesize,0,null);
            }

        //3.查询评论人的用户详情
        List<Long>ids = commentList.stream()
                .map(Comment::getUserId).collect(Collectors.toList());
        Map<Long, UserInfo> map = userInfoApi.findByIds(ids).stream()
                .collect(Collectors.toMap(UserInfo::getId, Function.identity()));
        //4.封装vos对象
        List<CommentVo> vos = new ArrayList<>();
        for (Comment comment : commentList) {
            UserInfo userInfo = map.get(comment.getUserId());
            if (userInfo !=null){
                CommentVo vo = CommentVo.init(userInfo,comment);
                vos.add(vo);
            }
        }
        //5.返回分页对象
        return new PageResult(page,pagesize,0,vos);
    }


    //点赞
    public Integer likeMovement(String movementId) {
        //1.查询点赞数据是否存在
        boolean hasLike = commentApi.hasLike(movementId, UserHolder.getUserId(), CommentType.LIKE);
        //2.判断查询结果并返回结果  不存在就可以点赞,可以往下走,存在就有问题,不能重复点赞
        if (hasLike){
            throw new BusinessException(ErrorResult.likeError());
        }
        //3.封装点赞数据并保存
        Comment comment = new Comment();
        comment.setPublishId(new ObjectId(movementId));
        comment.setCommentType(CommentType.LIKE.getType());
        comment.setUserId(UserHolder.getUserId());
        comment.setCreated(System.currentTimeMillis());
        Integer count = commentApi.save(comment);

        //4.保存点赞数据到redis中 使用hash存储  大key就是动态的id 里面的小key就是用户id
        String key = Constants.MOVEMENTS_INTERACT_KEY + movementId;
        String  hashKey =Constants.MOVEMENT_LIKE_HASHKEY + UserHolder.getUserId();
        redisTemplate.opsForHash().put(key,hashKey,"1");
        mqMessageService.sendLogMessage(UserHolder.getUserId(),"0203","movement",movementId);

        //5.返回点赞后的总记录数
        return count;
    }

    //取消点赞
    public Integer dislikeMovement(String movementId) {
        //1.查询点赞数据是否存在
        boolean hasLike = commentApi.hasLike(movementId, UserHolder.getUserId(), CommentType.LIKE);

        //2.判断点赞数据是否不存在,如果没有点赞数据,就不需要取消点赞
        if (!hasLike){
            throw new BusinessException(ErrorResult.disLikeError());
        }

        //3.调用api执行点赞数据的操作  通用删除互动数据
        Integer count =commentApi.delete(movementId,UserHolder.getUserId(),CommentType.LIKE);

        //4.删除在redis缓存中的点赞数据
        String key = Constants.MOVEMENTS_INTERACT_KEY + movementId;
        String  hashKey =Constants.MOVEMENT_LIKE_HASHKEY + UserHolder.getUserId();
        redisTemplate.opsForHash().delete(key,hashKey);

        //5.返回取消点赞后的总记录数
        return count;
    }

    //点赞喜欢
    public Integer loveComment(String movementId) {
        //1.查询喜欢数据是否存在
        boolean hasLove = commentApi.hasLike(movementId, UserHolder.getUserId(), CommentType.LOVE);

        //2.判断查询结果并返回结果  不存在就可以喜欢,可以往下走,存在就有问题,不能重复喜欢
        if (hasLove){
            throw new BusinessException(ErrorResult.loveError());
        }

        //3.封装喜欢数据并保存
        Comment comment = new Comment();
        comment.setPublishId(new ObjectId(movementId));
        comment.setCommentType(CommentType.LOVE.getType());
        comment.setUserId(UserHolder.getUserId());
        comment.setCreated(System.currentTimeMillis());
        Integer count = commentApi.save(comment);

        //4.保存喜欢数据到redis中 使用hash存储  大key就是动态的id 里面的小key就是用户id
        String key = Constants.MOVEMENTS_INTERACT_KEY + movementId;
        String  hashKey =Constants.MOVEMENT_LOVE_HASHKEY + UserHolder.getUserId();
        redisTemplate.opsForHash().put(key,hashKey,"1");

        //5.返回喜欢后的总记录数
        return count;
    }


    //取消喜欢
    public Integer unlove(String movementId) {
        //1.查询喜欢数据是否存在
        boolean hasLove = commentApi.hasLike(movementId, UserHolder.getUserId(), CommentType.LOVE);

        //2.判断喜欢数据是否不存在,如果没有喜欢数据,就不需要取消喜欢
        if (!hasLove){
            throw new BusinessException(ErrorResult.disloveError());
        }

        //3.调用api执行喜欢数据的操作  通用删除互动数据
        Integer count =commentApi.delete(movementId,UserHolder.getUserId(),CommentType.LOVE);

        //4.删除在redis缓存中的喜欢数据
        String key = Constants.MOVEMENTS_INTERACT_KEY + movementId;
        String  hashKey =Constants.MOVEMENT_LOVE_HASHKEY + UserHolder.getUserId();
        redisTemplate.opsForHash().delete(key,hashKey);

        //5.返回取消喜欢后的总记录数
        return count;
    }

    //评论-点赞
    public Integer likeComment(String movementId){
        //查询点赞数据是否存在
        UserHolder.getUserId();
        //boolean hasLike = commentApi.hasMovement(CommentId,userId,CommentType.LIKE);
        return null;
    }


    //评论-取消点赞
    public Integer dislikeComment(String movementId){
        return null;
    }
}
